Sentence examples for different measurement models from inspiring English sources

We used the item response function (3) to estimate four different measurement models, each with different degrees of measurement invariance for the HRL index.

The same can be said of the relationships between different degrees of measurement invariance, different measurement models, and other (more general) prediction models.

The effect of using this approach is studied on the results from multilevel regression for different measurement models and person parameter estimation procedures.

In our study, rescaling the HRL index with four different measurement models with different degrees of assumed measurement invariance also showed that the measurement non-invariance model fitted the data best.

By comparing the regression coefficients across countries and across different measurement models, we were able to observe both the overall effect of different degrees of measurement invariance on the prediction coefficients and the country-specific effect on the coefficients.

Here, we fitted two different measurement models with two different degrees of measurement invariance to the combined data and then used well-established fit criteria to compare the resulting models.

These differences suggest a different measurement model should be used for males and females.

Because the observed group of young adults in different training schemes of the transition system is composed of a substantial number of very low achieving students and students with special educational needs, one possible approach for identifying the scaling problem is to compare the results according to different measurement model classes.

In this paper we provide an overarching framework for recognizing the fundamentally different families of measurement models and the functional relationship between the measured items and the latent construct they presume to measure.

Suppose a measurand can be computed by two different but consistent measurement models.

The development of different forms of measurement models for impedance has allowed examination of key assumptions on which the use of such models to assess error structure are based.